Webarmature : Observatoire diachronique du territoire lyonnais

Autor: Arnaud Bellec, Bernard Gauthiez, Serge Fenet, Bernard Kaufmann

Publikováno v: Cybergeo (2019)

The rise of information technology offers new possibilities in terms of observation, interaction and analysis of spatial data. Using public spatial data on the Grand Lyon metropolitan area, we have developed a new service based on the web site webarm

Externí odkaz: https://doaj.org/article/fc769fcdf35541378d173deaa011b2d4

Scoring Message Stream Anomalies in Railway Communication Systems

Autor: Serge Fenet, Christophe Rigotti, Lucas Foulon, Denis Jouvin

Publikováno v: Proceedings of Workshop on Learning and Mining with Industrial Data
LMID 2019-IEEE Workshop on Learning and Mining with Industrial Data
LMID 2019-IEEE Workshop on Learning and Mining with Industrial Data, Nov 2019, Beijing, China. pp.1-8, ⟨10.1109/ICDMW.2019.00114⟩
LMID 2019-IEEE Workshop on Learning and Mining with Industrial Data, Nov 2019, Beijing, China. pp.1-8
ICDM Workshops

This work focuses on the detection of anomalies in a railway communication system. We present the detection method as well as the architecture of the system supporting it. The method is based on a preliminary stage to collect and aggregate the data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::347143f8ef1a74c4db81636bb924d646
https://hal.science/hal-02357924/document

Comparison of traffic forecasting methods in urban and suburban context

Autor: Julien Salotti, Christine Solnon, Nour-Eddin El Faouzi, Romain Billot, Serge Fenet

Publikováno v: ICTAI 2018 : IEEE 30th International Conference on Tools with Artificial Intelligence
ICTAI 2018 : IEEE 30th International Conference on Tools with Artificial Intelligence, Nov 2018, Volos, Greece. pp.846-853, ⟨10.1109/ICTAI.2018.00132⟩
ICTAI

International audience; In the context of Connected and Smart Cities, the need to predict short term traffic conditions has led to the development of a large variety of forecasting algorithms. In spite of various research efforts, there is however st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3897df4450abdbae1b4d75091a439a32
https://hal.archives-ouvertes.fr/hal-01895136/file/main.pdf

A framework for evaluating urban land use mix from crowd-sourcing data

Autor: Luciano Gervasoni, Peter Sturm, Serge Fenet, Martí Bosch

Publikováno v: 2nd International Workshop on Big Data for Sustainable Development
2nd International Workshop on Big Data for Sustainable Development, Dec 2016, Washington DC, United States. pp.2147-2156, ⟨10.1109/BigData.2016.7840844⟩
IEEE BigData

International audience; Population in urban areas has been increasing at an alarming rate in the last decades. This evidence, together with the rising availability of massive data from cities, has motivated research on sustainable urban development.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::323845a3fd57207b6907e76223607261
https://hal.inria.fr/hal-01396792

Optimizing the trade-off between spatial and genetic sampling efforts in patchy populations: towards a better assessment of functional connectivity using an individual-based sampling scheme

Autor: Jérôme G. Prunier, François Pompanon, Bernard Kaufmann, Damien Picard, Pierre Joly, Jean-Paul Léna, Serge Fenet

Publikováno v: Molecular Ecology
Molecular Ecology, 2013, 22, pp.5516-5530. ⟨10.1111/mec.12499⟩
Molecular Ecology, Wiley, 2013, 22, pp.5516-5530. ⟨10.1111/mec.12499⟩

International audience; Genetic data are increasingly used in landscape ecology for the indirect assessment of functional connectivity, that is, the permeability of landscape to movements of organ- isms. Among available tools, matrix correlation anal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ae920309218a12927c346c5c4513c6
https://hal.science/halsde-00942596